import matplotlib.pyplot as plt
year = [2006 + x for x in range(16)]
my_weight = [20 ,23,23,24,25,24,27,32,35,34,40,45,47,53,57,62]
plt.plot(year,my_weight, c ="red", lw=3)
[<matplotlib.lines.Line2D at 0x1c4acb0fb90>]
import seaborn as sns
tips = sns.load_dataset("tips")
sns.scatterplot(x="tip",y="total_bill",data=tips,hue="day")
<Axes: xlabel='tip', ylabel='total_bill'>
plotly.offline.init_notebook_mode()
import plotly.express as px
df = px.data.tips()
fig = px.pie(df, values='tip', names='day')
fig.show()